Imaging Informatics: Page 153

Medical imaging AI market primed for growth
By Simon Harris
The world market for artificial intelligence (AI) and machine learning in medical imaging is set for robust growth and is forecast to top $2 billion by 2023. The sector holds great promise, but barriers must be overcome before AI becomes mainstream, writes industry analyst Simon Harris.
August 2, 2018
2017 11 22 22 05 0130 Harris Simon 400
EuSoMII invites abstracts for 2018 meeting
By AuntMinnieEurope.com staff writers
The European Society of Medical Imaging Informatics (EuSoMII) has issued an invitation for abstracts for its annual meeting, to be held 3 November at Erasmus Medical Center in Rotterdam, the Netherlands.
August 2, 2018
Can AI best quantitative MRI in prostate lesions?
By Erik L. Ridley
Quantitative measurement of prostate MRI exams can yield better lesion characterization performance than just qualitative assessment by radiologists, German researchers have found. But can machine learning do even better? At least for now, the answer is no, according to a study published online on 31 July in Radiology.
August 1, 2018
2016 10 04 11 38 34 158 Prostate 400
Beards pose hygiene risk in MRI | AI can prevent billing errors | Machine learning helps differentiate breast lesions
By Philip Ward
July 31, 2018
AuntMinnieEurope.com Imaging Informatics Insider
By Erik L. Ridley
July 30, 2018
AI algorithm predicts billing codes from MRI log data
By Erik L. Ridley
An artificial intelligence (AI) algorithm can accurately predict billing codes from log data of MRI studies, potentially helping to avoid coding errors and reducing radiographers' workload, German researchers reported at the International Society for Magnetic Resonance in Medicine meeting in Paris.
July 30, 2018
2016 08 30 09 24 35 525 Eiffel Tower 400
Augmented reality device aids interventional oncology
By Abraham Kim
An Italian-led research team has developed a technique that can use augmented reality instead of conventional intraprocedural imaging to guide needle insertion for interventional procedures, according to research published online on 31 July in European Radiology Experimental.
July 30, 2018
2018 07 31 15 43 7947 2018 07 31 Augmented Reality Interventional 20180731155318
JVCKenwood unveils new breast imaging monitor
By AuntMinnieEurope.com staff writers
Electronic company JVCKenwood presented the next generation of its 5-megapixel color breast imaging monitor at the recent International Workshop on Breast Imaging in Atlanta, Georgia, U.S.
July 30, 2018
Moscow center publishes machine-learning dataset
By AuntMinnieEurope.com staff writers
The Research and Practical Center of Medical Radiology in Moscow has published a dataset of chest CT studies for use in training machine-learning algorithms.
July 30, 2018
Philips, Oxford partner on pathology network
By AuntMinnieEurope.com staff writers
Royal Philips and Oxford University Hospitals National Health Service Foundation Trust in the U.K. plan to create a digital pathology network to help drive faster and more efficient diagnoses for patients.
July 30, 2018
Can AI enhance the utility of breast conebeam CT?
By Erik L. Ridley
An artificial intelligence (AI) algorithm for breast conebeam CT (CBCT) studies can accurately differentiate between benign and malignant breast lesions, potentially improving the real-world performance of radiologists reading CBCT images, according to a Web-exclusive paper in the August issue of the American Journal of Roentgenology.
July 29, 2018
2017 03 30 10 29 47 941 Computer Data 400
PACS can play key role in tackling backlog of scans
By Rebekah Moan
Want to increase your reporting efficiency? Check your PACS/RIS. That's the message of researchers from a top London facility who found that, depending on the PACS/RIS, between 33% and 51% of reporting time can be spent on tasks not related directly to image interpretation.
July 29, 2018
2016 08 03 15 36 54 468 Doctor Stressed 400
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